入门-Swarms

前提

  • dockers 1.13以上
  • Docker Compose
  • Docker Machine

本节内容

将app部署到一个集群中,在几个机器上运行。Multi-container, multi-machine applications are made possible by joining multiple machines into a “Dockerized” cluster called a swarm.

理解Swarm cluster

swarm是一组运行了docker、组织到一个集群中的机器。swarm manager在一个集群中执行我们的指令。swarm中的机器可以是真是的或者虚拟的。一个节点加入swarm后被成为node

swarm managers运行container可以使用多种策略。empties nodeglobal等。

swarm managers可以执行命令,授权别的机器作为workers加入swarm

Up until now, you have been using Docker in a single-host mode on your local machine. But Docker also can be switched into swarm mode, and that’s what enables the use of swarms. Enabling swarm mode instantly makes the current machine a swarm manager. From then on, Docker will run the commands you execute on the swarm you’re managing, rather than just on the current machine.

建立swarm

run docker swarm init to enable swarm mode and make your current machine a swarm manager, then run docker swarm join on other machines to have them join the swarm as workers.

$ docker-machine create --driver virtualbox myvm1
$ docker-machine create --driver virtualbox myvm2

$ docker-machine ssh myvm1 "docker swarm init"
Swarm initialized: current node <node ID> is now a manager.

To add a worker to this swarm, run the following command:

  docker swarm join \
  --token <token> \
  <ip>:<port>


$ docker-machine ssh myvm2 "docker swarm join \
--token <token> \
<ip>:<port>"

This node joined a swarm as a worker.

$ docker-machine ssh myvm1 "docker node ls"

部署app到cluster上

The hard part is over. Now you just repeat the process you used in part 3 to deploy on your new swarm. Just remember that only swarm managers like myvm1 execute Docker commands; workers are just for capacity.

Copy the file docker-compose.yml you created in part 3 to the swarm manager myvm1’s home directory (alias: ~) by using the docker-machine scp command:

docker-machine scp docker-compose.yml myvm1:~

Now have myvm1 use its powers as a swarm manager to deploy your app, by sending the same docker stack deploy command you used in part 3 to myvm1 using docker-machine ssh:

docker-machine ssh myvm1 "docker stack deploy -c docker-compose.yml getstartedlab"

And that’s it, the app is deployed on a cluster.

Wrap all the commands you used in part 3 in a call to docker-machine ssh, and they’ll all work as you’d expect. Only this time, you’ll see that the containers have been distributed between both myvm1 and myvm2.

$ docker-machine ssh myvm1 "docker stack ps getstartedlab"

ID            NAME        IMAGE              NODE   DESIRED STATE
jq2g3qp8nzwx  test_web.1  username/repo:tag  myvm1  Running
88wgshobzoxl  test_web.2  username/repo:tag  myvm2  Running
vbb1qbkb0o2z  test_web.3  username/repo:tag  myvm2  Running
ghii74p9budx  test_web.4  username/repo:tag  myvm1  Running
0prmarhavs87  test_web.5  username/repo:tag  myvm2  Running

Accessing your cluster

You can access your app from the IP address of either myvm1 or myvm2. The network you created is shared between them and load-balancing. Run docker-machine ls to get your VMs’ IP addresses and visit either of them on a browser, hitting refresh (or just curl them). You’ll see five possible container IDs all cycling by randomly, demonstrating the load-balancing.
The reason both IP addresses work is that nodes in a swarm participate in an ingress routing mesh. This ensures that a service deployed at a certain port within your swarm always has that port reserved to itself, no matter what node is actually running the container.

Cleanup

You can tear down the stack with docker stack rm. For example:

docker-machine ssh myvm1 "docker stack rm getstartedlab"

docker-machine ssh myvm2 "docker swarm leave"

docker-machine ssh myvm1 "docker swarm leave --force"
docker-machine create --driver virtualbox myvm1 # Create a VM (Mac, Win7, Linux)
docker-machine create -d hyperv --hyperv-virtual-switch "myswitch" myvm1 # Win10
docker-machine env myvm1                # View basic information about your node
docker-machine ssh myvm1 "docker node ls"         # List the nodes in your swarm
docker-machine ssh myvm1 "docker node inspect <node ID>"        # Inspect a node
docker-machine ssh myvm1 "docker swarm join-token -q worker"   # View join token
docker-machine ssh myvm1   # Open an SSH session with the VM; type "exit" to end
docker-machine ssh myvm2 "docker swarm leave"  # Make the worker leave the swarm
docker-machine ssh myvm1 "docker swarm leave -f" # Make master leave, kill swarm
docker-machine start myvm1            # Start a VM that is currently not running
docker-machine stop $(docker-machine ls -q)               # Stop all running VMs
docker-machine rm $(docker-machine ls -q) # Delete all VMs and their disk images
docker-machine scp docker-compose.yml myvm1:~     # Copy file to node's home dir
docker-machine ssh myvm1 "docker stack deploy -c <file> <app>"   # Deploy an app
最后编辑于
©著作权归作者所有,转载或内容合作请联系作者
  • 序言:七十年代末,一起剥皮案震惊了整个滨河市,随后出现的几起案子,更是在滨河造成了极大的恐慌,老刑警刘岩,带你破解...
    沈念sama阅读 199,711评论 5 468
  • 序言:滨河连续发生了三起死亡事件,死亡现场离奇诡异,居然都是意外死亡,警方通过查阅死者的电脑和手机,发现死者居然都...
    沈念sama阅读 83,932评论 2 376
  • 文/潘晓璐 我一进店门,熙熙楼的掌柜王于贵愁眉苦脸地迎上来,“玉大人,你说我怎么就摊上这事。” “怎么了?”我有些...
    开封第一讲书人阅读 146,770评论 0 330
  • 文/不坏的土叔 我叫张陵,是天一观的道长。 经常有香客问我,道长,这世上最难降的妖魔是什么? 我笑而不...
    开封第一讲书人阅读 53,799评论 1 271
  • 正文 为了忘掉前任,我火速办了婚礼,结果婚礼上,老公的妹妹穿的比我还像新娘。我一直安慰自己,他们只是感情好,可当我...
    茶点故事阅读 62,697评论 5 359
  • 文/花漫 我一把揭开白布。 她就那样静静地躺着,像睡着了一般。 火红的嫁衣衬着肌肤如雪。 梳的纹丝不乱的头发上,一...
    开封第一讲书人阅读 48,069评论 1 276
  • 那天,我揣着相机与录音,去河边找鬼。 笑死,一个胖子当着我的面吹牛,可吹牛的内容都是我干的。 我是一名探鬼主播,决...
    沈念sama阅读 37,535评论 3 390
  • 文/苍兰香墨 我猛地睁开眼,长吁一口气:“原来是场噩梦啊……” “哼!你这毒妇竟也来了?” 一声冷哼从身侧响起,我...
    开封第一讲书人阅读 36,200评论 0 254
  • 序言:老挝万荣一对情侣失踪,失踪者是张志新(化名)和其女友刘颖,没想到半个月后,有当地人在树林里发现了一具尸体,经...
    沈念sama阅读 40,353评论 1 294
  • 正文 独居荒郊野岭守林人离奇死亡,尸身上长有42处带血的脓包…… 初始之章·张勋 以下内容为张勋视角 年9月15日...
    茶点故事阅读 35,290评论 2 317
  • 正文 我和宋清朗相恋三年,在试婚纱的时候发现自己被绿了。 大学时的朋友给我发了我未婚夫和他白月光在一起吃饭的照片。...
    茶点故事阅读 37,331评论 1 329
  • 序言:一个原本活蹦乱跳的男人离奇死亡,死状恐怖,灵堂内的尸体忽然破棺而出,到底是诈尸还是另有隐情,我是刑警宁泽,带...
    沈念sama阅读 33,020评论 3 315
  • 正文 年R本政府宣布,位于F岛的核电站,受9级特大地震影响,放射性物质发生泄漏。R本人自食恶果不足惜,却给世界环境...
    茶点故事阅读 38,610评论 3 303
  • 文/蒙蒙 一、第九天 我趴在偏房一处隐蔽的房顶上张望。 院中可真热闹,春花似锦、人声如沸。这庄子的主人今日做“春日...
    开封第一讲书人阅读 29,694评论 0 19
  • 文/苍兰香墨 我抬头看了看天上的太阳。三九已至,却和暖如春,着一层夹袄步出监牢的瞬间,已是汗流浃背。 一阵脚步声响...
    开封第一讲书人阅读 30,927评论 1 255
  • 我被黑心中介骗来泰国打工, 没想到刚下飞机就差点儿被人妖公主榨干…… 1. 我叫王不留,地道东北人。 一个月前我还...
    沈念sama阅读 42,330评论 2 346
  • 正文 我出身青楼,却偏偏与公主长得像,于是被迫代替她去往敌国和亲。 传闻我的和亲对象是个残疾皇子,可洞房花烛夜当晚...
    茶点故事阅读 41,904评论 2 341

推荐阅读更多精彩内容